A decision support system for the classification of event-related potentials

被引：0

作者：

Vasios, CE ^{[1
]}

Matsopoulos, GK ^{[1
]}

Nikita, KS ^{[1
]}

Uzunoglu, N ^{[1
]}

Papageorgiou, C ^{[1
]}

机构：

[1] Natl Tech Univ Athens, Dept Elect & Comp Engn, GR-10682 Athens, Greece

来源：

2002 6TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS | 2002年

关键词：

Multivariate Autoregressive; Simulated Annealing; Neural Network; Back-propagation; ERP;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a Decision Support System (DSS) for the classification of patients on their collected Event Related Potentials (ERPs) is proposed. The DSS consists of two levels: the feature extraction level and the classification level. The feature extraction level comprises the implementation of-the. Multivariate Autoregressive-model in conjunction with a global optimization method, for the selection of optimum -features from ERPs. The classification level is implemented with a single three-layer neural network, trained with the back-propagation algorithm and classifies the data into two classes: patients and control subjects. The DSS has been thoroughly tested to a number of patient data (OCD, FES, depressives and drug users), resulting successful classification up to 100%.

引用

页码：159 / 164

页数：6

共 50 条

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[10] EVENT-RELATED POTENTIALS
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